Patents by Inventor Lilla Boroczky

Lilla Boroczky has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11424037
    Abstract: A method, system, and computer program product provide disease simulation in synthetic projection imagery. The method obtains first medical imaging data of a first imaging type as source imaging data. A second imaging type to be generated from the source imaging data is identified. The method identifies a parameter set for the second imaging type. Second medical imaging data is modeled from the first medical imaging data based on the parameter set. A set of synthetic images is generated from the first medical imaging data based on the modeled second medical imaging data.
    Type: Grant
    Filed: November 22, 2019
    Date of Patent: August 23, 2022
    Assignee: International Business Machines Corporation
    Inventors: Benedikt Graf, Arkadiusz Sitek, Yiting Xie, Amin Katouzian, Pedro Luis Esquinas Fernandez, Lilla Boroczky, Mark D. Bronkalla
  • Publication number: 20220114213
    Abstract: A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a current patient set of data relating to a current patient; compare the current patient set of data to a plurality of previous patient sets of data, each of the previous patient sets of data corresponding to a previous patient; select one of the previous patient sets of data based on a level of similarity between the selected previous patient set of data and the current patient set of data; and provide the selected previous patient set of data to a user.
    Type: Application
    Filed: November 1, 2021
    Publication date: April 14, 2022
    Inventors: LILLA BOROCZKY, MARK R. SIMPSON, YE XU, MICHAEL CHUN-CHIEH LEE
  • Patent number: 11170900
    Abstract: The invention relates to search for cases in a database. According to the proposed method and apparatus, similarity matching is performed between an input case and a set of cases in an initial search to receive similar cases by using a given matching criterion. Then statistics on image and/or non-image-based features associated with the similar cases are calculated and presented to the user with the similar cases. In a search refinement the similar cases are refined by additional features that are determined by the user based on the statistics. The search refinement can be iterative depending on the user's need.
    Type: Grant
    Filed: December 10, 2008
    Date of Patent: November 9, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Lilla Boroczky, Lalitha Agnihotri, Luyin Zhao, Michael Chun-chieh Lee
  • Publication number: 20210210177
    Abstract: A system and method of providing computer-aided analysis of medical images uses an image processor (910) to process medical image data. A decision engine (920) generates a diagnosis based on the image data (940). The decision engine estimates the probability of an illness based on the image data and assesses the relevance of any unavailable data. The result is used to request this unavailable data from the user for computing a more complete diagnosis or otherwise displaying the results in incomplete form due to either the lack of additional data or the confidence in the incomplete diagnostic results. The diagnostic results may be displayed on an output terminal (970) and may be stored in the database (930).
    Type: Application
    Filed: March 19, 2021
    Publication date: July 8, 2021
    Inventors: Michael Chun-chieh LEE, Lilla BOROCZKY
  • Publication number: 20210158970
    Abstract: A method, system, and computer program product for disease simulation and identification in medical images. The method generates a set of synthetic projection images from first medical imaging data of a first imaging type. Second medical imaging data of a second imaging type is projected onto the set of synthetic projection images. One or more synthetic images of the set of synthetic projection images are modified to generate a set of modified projection images based on the second medical imaging data. The method generates an imaging model based on the set of modified projection images. The method obtains a patient medical image of the first imaging type and identifies an attribute of interest on the patient medical image based on the imaging model.
    Type: Application
    Filed: November 22, 2019
    Publication date: May 27, 2021
    Inventors: Benedikt Graf, Arkadiusz Sitek, Yiting Xie, AMIN KATOUZIAN, PEDRO LUIS ESQUINAS FERNANDEZ, Lilla Boroczky, Mark D. Bronkalla
  • Publication number: 20210158971
    Abstract: A method, system, and computer program product provide disease simulation in synthetic projection imagery. The method obtains first medical imaging data of a first imaging type as source imaging data. A second imaging type to be generated from the source imaging data is identified. The method identifies a parameter set for the second imaging type. Second medical imaging data is modeled from the first medical imaging data based on the parameter set. A set of synthetic images is generated from the first medical imaging data based on the modeled second medical imaging data.
    Type: Application
    Filed: November 22, 2019
    Publication date: May 27, 2021
    Inventors: Benedikt Graf, Arkadiusz Sitek, Yiting Xie, Amin Katouzian, Pedro Luis Esquinas Fernandez, Lilla Boroczky, Mark D. Bronkalla
  • Patent number: 11004196
    Abstract: Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.
    Type: Grant
    Filed: October 5, 2018
    Date of Patent: May 11, 2021
    Assignee: Koninklijke Philips N.V.
    Inventors: Lilla Boroczky, Lalitha Agnihotri, Luyin Zhao, Michael Chun-chieh Lee, Charles Andrew Powell, Alain C. Borczuk, Steven Kawut
  • Patent number: 10943697
    Abstract: Aspects of the present invention disclose a method, computer program product, and system for identifying symptoms based on digital media. The method includes one or more processors receiving digital media and information associated with a first animal from a user. The method further includes one or more processors identifying data records, stored in a knowledge database, that are respectively associated with an animal that is similar to the first animal. The method further includes one or more processors determining symptom information corresponding to the first animal based on a comparison of the received digital media and information associated with the first animal and the identified data records. The method further includes presenting the determined symptom information to a user.
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: March 9, 2021
    Assignee: International Business Machines Corporation
    Inventors: Lilla Boroczky, Francisco Phelan Curbera, Maria Eleftheriou, John R. Smith
  • Patent number: 10909674
    Abstract: A method generates images based on context-aware imaging. The method includes acquiring a first image of a patient using first image acquisition parameters. The method includes determining, within the first image, an area as a function of first data associated with the patient. The method includes determining modification data as a function of at least one of (a) second data corresponding to the determined area and (b) the first data. The method includes determining second image acquisition parameters as a function of the modification data and the first image acquisition parameters. The method includes acquiring a second image of the patient using the second image acquisition parameters.
    Type: Grant
    Filed: September 24, 2014
    Date of Patent: February 2, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Lilla Boroczky, Shyam Bharat, Bruce Reiner
  • Patent number: 10664567
    Abstract: A method includes obtaining, in electronic format, an image (102) including a medical image display region (104) and an information display region (106). The at least one of the medical image display region or the information display region includes graphical indicia representing at least one of an annotation (110, 112, 114, 116) or alphanumeric information (118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140). The method further includes evaluating pixels of the image to identify pixels including the graphical indicia representing an annotation or alphanumeric information of interest in the image. The method further includes extracting the annotation or alphanumeric information of interest from the identified graphical indicia from the image. The method further includes inserting the extracted annotation or alphanumeric information of interest in an electronically formatted clinical report for the image.
    Type: Grant
    Filed: January 12, 2015
    Date of Patent: May 26, 2020
    Assignee: Koninklijke Philips N.V.
    Inventors: Yinhui Deng, Qi Zhong Lin, Lilla Boroczky, Michael Chun-Chieh Lee, Ying Wu
  • Patent number: 10585940
    Abstract: When evaluating patient cases to determine complexity thereof, a computer-aided stratification technique is applied to analyze historical patient case diagnoses and correctness thereof in order to calculate a stratification score (20) for each of a plurality of abnormality types and/or anatomical locations. When a new patient case is received, the computer-aided stratification technique is applied to evaluate the patient case in view of historical data and assign a stratification score thereto. A ranked list (21) of current patient cases can be generated according to stratification scores, and physician workload can be adjusted as a function thereof so that workload is balanced across physicians and/or according to physician experience level.
    Type: Grant
    Filed: April 16, 2015
    Date of Patent: March 10, 2020
    Assignee: Koninklijke Philips N.V.
    Inventors: Lilla Boroczky, Michael Chun-Chieh Lee
  • Publication number: 20200027554
    Abstract: Mechanisms are provided to implement a cognitive artificial intelligence training mechanism for simulating patients for developing artificial intelligence based medical solutions. The cognitive artificial intelligence training mechanism perturbs non-image based information of a real patient from a real patient data set forming perturbed non-image based information. The cognitive artificial intelligence training mechanism generates an artificial patient data in an artificial patient data set using the perturbed non-image based information and a non-perturbed medical image of the real patient. The cognitive artificial intelligence training mechanism then trains an operation of a learning algorithm utilized by the cognitive data processing system using real patient data in the real patient data set and the artificial patient data in the artificial patient data set.
    Type: Application
    Filed: July 18, 2018
    Publication date: January 23, 2020
    Inventors: Lilla Boroczky, Paul Dufort, Yiting Xie, David Richmond
  • Publication number: 20200027530
    Abstract: Mechanisms are provided to implement a cognitive artificial intelligence training mechanism for simulating patients for developing artificial intelligence based medical solutions. The cognitive artificial intelligence training mechanism perturbs non-image based information of a real patient from a real patient data set forming perturbed non-image based information, The cognitive artificial intelligence training mechanism generates an artificial patient data in an artificial patient data set using the perturbed non-image based information and a non-perturbed medical image of the real patient. The cognitive artificial intelligence training mechanism then trains an operation of a learning algorithm utilized by the cognitive data processing system using real patient data in the real patient data set and the artificial patient data in the artificial patient data set.
    Type: Application
    Filed: November 9, 2018
    Publication date: January 23, 2020
    Inventors: Lilla Boroczky, Paul Dufort, Yiting Xie, David Richmond
  • Patent number: 10504197
    Abstract: A clinical decision support (CDS) system comprises: a case grouping sub-system (10) including a graphical user interface (30) that is operative to simultaneously display data representing a plurality of patient cases and further configured to enable a user to group selected patient cases represented by the simultaneously displayed data into clinically related groups (32) as selected by the user; a probative features determination sub-system (12) that is operative to determine probative features (44) that correlate with the clinically related groups; and a CDS user interface (16) that is operative to receive current patient data relating to a current patient case and to output clinical decision support information based on values of the probative features determined from the received current patient data.
    Type: Grant
    Filed: March 9, 2010
    Date of Patent: December 10, 2019
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Lilla Boroczky, Ye Xu, Jeremy Drysdale, Michael Chun-chieh Lee, Lina Arbash Meinel, Thomas Buelow
  • Patent number: 10318709
    Abstract: A system and method for cross-modality case-based computer-aided diagnosis comprises storing a plurality of cases, each case including at least one image of one of a plurality of modalities and non-image information, mapping a feature relationship between a feature from images of a first modality to a feature from images of a second modality, and storing the relationship.
    Type: Grant
    Filed: December 9, 2008
    Date of Patent: June 11, 2019
    Assignee: Koninklijke Philips N.V.
    Inventors: Lalitha Agnihotri, Lilla Boroczky
  • Publication number: 20190172580
    Abstract: Aspects of the present invention disclose a method, computer program product, and system for identifying symptoms based on digital media. The method includes one or more processors receiving digital media and information associated with a first animal from a user. The method further includes one or more processors identifying data records, stored in a knowledge database, that are respectively associated with an animal that is similar to the first animal. The method further includes one or more processors determining symptom information corresponding to the first animal based on a comparison of the received digital media and information associated with the first animal and the identified data records. The method further includes presenting the determined symptom information to a user.
    Type: Application
    Filed: December 1, 2017
    Publication date: June 6, 2019
    Inventors: Lilla Boroczky, Francisco Phelan Curbera, Maria Eleftheriou, John R. Smith
  • Patent number: 10311971
    Abstract: An oncology monitoring system comprises: an image analysis module (42, 44) configured to perform an oncological monitoring operation based on images of a subject, for example acquired by positron emission tomography (PET) and computed tomography (CT); and a clinical guideline support module (10). The clinical guideline support module is configured to: display a graphical flow diagram (GFD) of a clinical therapy protocol for treating the subject comprising graphical blocks (B0, B1, B2, B3, B4, B5, B21, B211, B22, B221, B222, B223, B23, B231, B232) representing therapeutic or monitoring operations of the clinical therapy protocol including at least one monitoring operation performed by the image analysis module; annotate a graphical block of the graphical flow diagram with subject-specific information pertaining to a therapeutic or monitoring operation represented by the graphical block; and display an annotation (POP) of a graphical block (B211) responsive to selection of the graphical block by a user.
    Type: Grant
    Filed: February 11, 2010
    Date of Patent: June 4, 2019
    Assignee: Koninklijke Philips N.V.
    Inventors: Roland Johannes Opfer, Lilla Boroczky, Ingwer Curt Carlsen, Pradyumna Dutta, Steffen Renisch, Joerg Sabczynski, Paola Karina Tulipano
  • Publication number: 20190150870
    Abstract: A method includes determining, with a computer implemented classifier, a health state of tissue interest of a subject in at least one pair of images of the subject based on a predetermined set of longitudinal features of the tissue of interest of the subject in the at least one pair of images of the subject. The at least one pair of images of the subject includes a first image of the tissue of interest acquired at a first moment in time and a second image of the tissue of interest acquired at a second moment in time. The first and second moments in time are different moments in time. The method further includes visually displaying indicia indicative of the determined health state.
    Type: Application
    Filed: January 20, 2019
    Publication date: May 23, 2019
    Inventors: Lilla Boroczky, Rafael Wiemker
  • Publication number: 20190108632
    Abstract: Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.
    Type: Application
    Filed: October 5, 2018
    Publication date: April 11, 2019
    Inventors: Lilla Boroczky, Lalitha Agnihotri, Luyin Zhao, Michael Chun-chieh Lee, Charles Andrew Powell, Alain C. Borczuk, Steven Kawut
  • Patent number: 10219767
    Abstract: A method includes determining, with a computer implemented classifier, a health state of tissue interest of a subject in at least one pair of images of the subject based on a predetermined set of longitudinal features of the tissue of interest of the subject in the at least one pair of images of the subject. The at least one pair of images of the subject includes a first image of the tissue of interest acquired at a first moment in time and a second image of the tissue of interest acquired at a second moment in time. The first and second moments in time are different moments in time. The method further includes visually displaying indicia indicative of the determined health state.
    Type: Grant
    Filed: September 29, 2015
    Date of Patent: March 5, 2019
    Assignee: Koninklijke Philips N.V.
    Inventors: Lilla Boroczky, Rafael Wiemker